Accurate measurement of ventilator length of stay and ventilator days for use in assessing patient safety and ventilator associated events.

Kimiyo H. Yamasaki, J. Mullen, Denise Wheatley, Ron R Sanderson
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Abstract

Objective: Accurate measurements of ventilator length of stay are important for quality measures and mandated by Centers of Disease Control for reporting ventilator associated events. However, it is unknown which method of such a calculation gives the more accurate results. Design: We collected data using three different methods of calculating ventilator length of stay in a community hospital ICU. The first method is the walk-through method for collection of data at 6 am, the second is a data base collection system we created where data was collected by respiratory therapists in a daily ventilator patient log then entered into the database, and finally from query of medical charges for ventilator days from financial department Results: There was statistically significant disagreement between the three methods. The walk though method and data base were not statistically different, but the data from financial charges overestimated the ventilator length of stay. Additionally, there was not statistically significant differences between the time of the walk-through data collection. Conclusion: Ventilator days and hours should be measured by a precise database rather than indirect methods of estimation like walk-through or financial charges. Patient exposure to risk, and reporting of ventilator time, whether days or hours should be measured directly, not estimated. A larger study needs to be performed to examine this variation in a broader medical setting. Keywords: ventilator length of stay, ventilator associated events, ventilator associated pneumonia
准确测量呼吸机停留时间和呼吸机天数,用于评估患者安全性和呼吸机相关事件。
目的:呼吸机停留时间的准确测量对质量测量很重要,疾病控制中心要求报告呼吸机相关事件。然而,目前尚不清楚哪种计算方法能给出更准确的结果。设计:我们使用三种不同的计算呼吸机在社区医院ICU住院时间的方法收集数据。第一种方法是在早上6点进行数据收集的walk-through方法,第二种方法是我们创建的数据库收集系统,由呼吸治疗师在每日呼吸机患者日志中收集数据,然后输入数据库,最后从财务部门查询呼吸机天数的医疗费用。结果:三种方法之间存在统计学上的差异。行走方法和数据库差异无统计学意义,但财务收费数据高估了呼吸机停留时间。此外,在演练数据收集的时间之间没有统计学上的显著差异。结论:呼吸机天数和小时应通过精确的数据库进行测量,而不应采用预诊或财务收费等间接估算方法。患者暴露于风险和报告呼吸机时间,无论是天数还是小时,应直接测量,而不是估计。需要进行更大规模的研究,以在更广泛的医疗环境中检查这种差异。关键词:呼吸机住院时间,呼吸机相关事件,呼吸机相关肺炎
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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